A new framework to map fine resolution cropping intensity across the globe: Algorithm, validation, and implication
出版年份 2020 全文链接
标题
A new framework to map fine resolution cropping intensity across the globe: Algorithm, validation, and implication
作者
关键词
Cropping intensity, Remote sensing, Multiple sensors, NDVI time series, Crop phenophase
出版物
REMOTE SENSING OF ENVIRONMENT
Volume 251, Issue -, Pages 112095
出版商
Elsevier BV
发表日期
2020-09-18
DOI
10.1016/j.rse.2020.112095
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Spectral harmonization and red edge prediction of Landsat-8 to Sentinel-2 using land cover optimized multivariate regressors
- (2020) Daniel Scheffler et al. REMOTE SENSING OF ENVIRONMENT
- Continental-scale land surface phenology from harmonized Landsat 8 and Sentinel-2 imagery
- (2020) Douglas K. Bolton et al. REMOTE SENSING OF ENVIRONMENT
- Phenology-Based Rice Paddy Mapping Using Multi-Source Satellite Imagery and a Fusion Algorithm Applied to the Poyang Lake Plain, Southern China
- (2020) Mingjun Ding et al. Remote Sensing
- Mapping and sampling to characterize global inland water dynamics from 1999 to 2018 with full Landsat time-series
- (2020) Amy H. Pickens et al. REMOTE SENSING OF ENVIRONMENT
- Mapping croplands of Europe, Middle East, Russia, and Central Asia using Landsat, Random Forest, and Google Earth Engine
- (2020) Aparna R. Phalke et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- High resolution paddy rice maps in cloud-prone Bangladesh and Northeast India using Sentinel-1 data
- (2019) Mrinal Singha et al. Scientific Data
- Long-term continuity in land surface phenology measurements: A comparative assessment of the MODIS land cover dynamics and VIIRS land surface phenology products
- (2019) Minkyu Moon et al. REMOTE SENSING OF ENVIRONMENT
- Mapping cropland extent of Southeast and Northeast Asia using multi-year time-series Landsat 30-m data using a random forest classifier on the Google Earth Engine Cloud
- (2019) Adam J. Oliphant et al. International Journal of Applied Earth Observation and Geoinformation
- A robust method for reconstructing global MODIS EVI time series on the Google Earth Engine
- (2019) Dongdong Kong et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- An efficient approach to capture continuous impervious surface dynamics using spatial-temporal rules and dense Landsat time series stacks
- (2019) Chong Liu et al. REMOTE SENSING OF ENVIRONMENT
- Fmask 4.0: Improved cloud and cloud shadow detection in Landsats 4–8 and Sentinel-2 imagery
- (2019) Shi Qiu et al. REMOTE SENSING OF ENVIRONMENT
- Agricultural cropland extent and areas of South Asia derived using Landsat satellite 30-m time-series big-data using random forest machine learning algorithms on the Google Earth Engine cloud
- (2019) Murali Krishna Gumma et al. GIScience & Remote Sensing
- Assessing factors impacting the spatial discrepancy of remote sensing based cropland products: A case study in Africa
- (2019) Mohsen Nabil et al. International Journal of Applied Earth Observation and Geoinformation
- Urbanization and climate change jointly shift land surface phenology in the northern mid-latitude large cities
- (2019) Tong Qiu et al. REMOTE SENSING OF ENVIRONMENT
- Annual maps of global artificial impervious area (GAIA) between 1985 and 2018
- (2019) Peng Gong et al. REMOTE SENSING OF ENVIRONMENT
- Mapping cropping intensity in China using time series Landsat and Sentinel-2 images and Google Earth Engine
- (2019) Luo Liu et al. REMOTE SENSING OF ENVIRONMENT
- No pixel left behind: Toward integrating Earth Observations for agriculture into the United Nations Sustainable Development Goals framework
- (2019) Alyssa K. Whitcraft et al. REMOTE SENSING OF ENVIRONMENT
- Evaluation of land surface phenology from VIIRS data using time series of PhenoCam imagery
- (2018) Xiaoyang Zhang et al. AGRICULTURAL AND FOREST METEOROLOGY
- Long-term monitoring of citrus orchard dynamics using time-series Landsat data: a case study in southern China
- (2018) Hanzeyu Xu et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Sentinel-2 cropland mapping using pixel-based and object-based time-weighted dynamic time warping analysis
- (2018) Mariana Belgiu et al. REMOTE SENSING OF ENVIRONMENT
- Tracking vegetation phenology across diverse North American biomes using PhenoCam imagery
- (2018) Andrew D. Richardson et al. Scientific Data
- A 30-m landsat-derived cropland extent product of Australia and China using random forest machine learning algorithm on Google Earth Engine cloud computing platform
- (2018) Pardhasaradhi Teluguntla et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Tracking the spatio-temporal change of cropping intensity in China during 2000-2015
- (2018) Huimin Yan et al. Environmental Research Letters
- Near doubling of Brazil’s intensive row crop area since 2000
- (2018) Viviana Zalles et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- The Harmonized Landsat and Sentinel-2 surface reflectance data set
- (2018) Martin Claverie et al. REMOTE SENSING OF ENVIRONMENT
- Empirical cross sensor comparison of Sentinel-2A and 2B MSI, Landsat-8 OLI, and Landsat-7 ETM+ top of atmosphere spectral characteristics over the conterminous United States
- (2018) Robert Chastain et al. REMOTE SENSING OF ENVIRONMENT
- Google Earth Engine: Planetary-scale geospatial analysis for everyone
- (2017) Noel Gorelick et al. REMOTE SENSING OF ENVIRONMENT
- Improving large-scale moso bamboo mapping based on dense Landsat time series and auxiliary data: a case study in Fujian Province, China
- (2017) Chong Liu et al. Remote Sensing Letters
- Nominal 30-m Cropland Extent Map of Continental Africa by Integrating Pixel-Based and Object-Based Algorithms Using Sentinel-2 and Landsat-8 Data on Google Earth Engine
- (2017) Jun Xiong et al. Remote Sensing
- A global reference database of crowdsourced cropland data collected using the Geo-Wiki platform
- (2017) Juan Carlos Laso Bayas et al. Scientific Data
- Development of a coupled carbon and water model for estimating global gross primary productivity and evapotranspiration based on eddy flux and remote sensing data
- (2016) Yulong Zhang et al. AGRICULTURAL AND FOREST METEOROLOGY
- Optimizing selection of training and auxiliary data for operational land cover classification for the LCMAP initiative
- (2016) Zhe Zhu et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- High-resolution mapping of global surface water and its long-term changes
- (2016) Jean-François Pekel et al. NATURE
- Future urban land expansion and implications for global croplands
- (2016) Christopher Bren d’Amour et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Mapping paddy rice planting area in northeastern Asia with Landsat 8 images, phenology-based algorithm and Google Earth Engine
- (2016) Jinwei Dong et al. REMOTE SENSING OF ENVIRONMENT
- Variation in Cropping Intensity in Northern China from 1982 to 2012 Based on GIMMS-NDVI Data
- (2016) Mingjun Ding et al. Sustainability
- The Sensitivity of Mapping Methods to Reference Data Quality: Training Supervised Image Classifications with Imperfect Reference Data
- (2016) Giles Foody et al. ISPRS International Journal of Geo-Information
- Global land cover mapping at 30m resolution: A POK-based operational approach
- (2015) Jun Chen et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Reconstruction of a complete global time series of daily vegetation index trajectory from long-term AVHRR data
- (2015) Xiaoyang Zhang REMOTE SENSING OF ENVIRONMENT
- Mapping rice paddy extent and intensification in the Vietnamese Mekong River Delta with dense time stacks of Landsat data
- (2015) Caitlin Kontgis et al. REMOTE SENSING OF ENVIRONMENT
- Global Crop Monitoring: A Satellite-Based Hierarchical Approach
- (2015) Bingfang Wu et al. Remote Sensing
- How do weather and climate influence cropping area and intensity?
- (2015) Toshichika Iizumi et al. Global Food Security-Agriculture Policy Economics and Environment
- Mapping Asian Cropping Intensity With MODIS
- (2014) Josh Gray et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Direct human influence on atmospheric CO2 seasonality from increased cropland productivity
- (2014) Josh M. Gray et al. NATURE
- L- and V-curves for optimal smoothing
- (2014) Gianluca Frasso et al. STATISTICAL MODELLING
- Mapping Crop Cycles in China Using MODIS-EVI Time Series
- (2014) Le Li et al. Remote Sensing
- Multiple cropping intensity in China derived from agro-meteorological observations and MODIS data
- (2013) Huimin Yan et al. Chinese Geographical Science
- Mapping cropping intensity of smallholder farms: A comparison of methods using multiple sensors
- (2013) Meha Jain et al. REMOTE SENSING OF ENVIRONMENT
- High-Resolution Global Maps of 21st-Century Forest Cover Change
- (2013) M. C. Hansen et al. SCIENCE
- The Millennium Drought in southeast Australia (2001-2009): Natural and human causes and implications for water resources, ecosystems, economy, and society
- (2013) Albert I. J. M. van Dijk et al. WATER RESOURCES RESEARCH
- Finer resolution observation and monitoring of global land cover: first mapping results with Landsat TM and ETM+ data
- (2012) Peng Gong et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Changes in rice cropping systems in the Poyang Lake Region, China during 2004–2010
- (2012) Peng Li et al. Journal of Geographical Sciences
- Green Revolution: Impacts, limits, and the path ahead
- (2012) P. L. Pingali PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Global changes in diets and the consequences for land requirements for food
- (2012) T. Kastner et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Data and monitoring needs for a more ecological agriculture
- (2011) David P M Zaks et al. Environmental Research Letters
- Solutions for a cultivated planet
- (2011) Jonathan A. Foley et al. NATURE
- Global food demand and the sustainable intensification of agriculture
- (2011) D. Tilman et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Object-based cloud and cloud shadow detection in Landsat imagery
- (2011) Zhe Zhu et al. REMOTE SENSING OF ENVIRONMENT
- Food Security: The Challenge of Feeding 9 Billion People
- (2010) H. C. J. Godfray et al. SCIENCE
- Global Patterns of Cropland Use Intensity
- (2010) Stefan Siebert et al. Remote Sensing
- Free Access to Landsat Imagery
- (2008) C. E. Woodcock et al. SCIENCE
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